Pre-requisites

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Pre-requisites

The only thing you need as a prerequisite is an interest in learning coding and machine learning. Actual prerequisites such as Python, Math, and Statistics basics are all covered in this course. Hence you can start this course with no knowledge of coding, math, or statistics needed for machine learning.

Contents

1: Welcome to Machine Learning Experience

1.1: Importance of Machine Learning in Your Career

1.2: AI Family Tree

1.3: System Requirements

1.4: Pre-requisites

1.5: Course Overview

2: Enhance your Learning Experience

2.1: Join Discord for doubt clearing support & networking

2.2: Setting Video Resolution and Video Speed Globally

3: Machine Learning Basics

3.1: Who is Peter Pandey?

3.2: Peter Pandey’s journey to learn Machine Learning

3.3: What is Machine Learning?

3.4: Classification vs Regression

3.5: Supervised vs Unsupervised Learning

3.6: Preparing for Your ML Journey

4: Python Basics Bonus

4.1: MUST WATCH: Go through this chapter ONLY IF

4.2: Skip This Chapter - Quiz

4.3: Setup Environment (Local Python and Google Colab)

4.4: Variables

4.5: Variables - Quiz

4.6: Variables - Exercise

4.7: Numbers

4.8: Numbers - Quiz

4.9: Numbers- Exercise

4.10: Strings

4.11: Strings - Quiz

4.12: Strings - Exercise

4.13: Lists

4.14: Lists - Quiz

4.15: Lists - Exercise

4.16: Install Pycharm

4.17: If Condition

4.18: If Condition - Quiz

4.19: If Condition - Exercise

4.20: For Loop

4.21: For loop - Quiz

4.22: For loop - Exercise

4.23: Functions

4.24: Functions -Quiz

4.25: Functions - Exercise

4.26: Dictionary and Tuples

4.27: Dictionary and Tuples - Quiz

4.28: Dictionary and Tuples - Exercise

4.29: Modules and Pip

4.30: Modules and Pip - Quiz

4.31: Modules and Pip - Exercise

4.32: File Handling

4.33: File Handling - Quiz

4.34: File handling - Exercise

4.35: Classes and Objects

4.36: Classes and Objects - Quiz

4.37: Classes and Objects - Exercise

4.38: Inheritance

4.39: Inheritance - Quiz

4.40: Inheritance - Exercise

4.41: Exception Handling

4.42: Exception Handling - Quiz

4.43: Exception Handling - Exercise

5: NumPy NEW

5.1: Introduction and Benefits

5.2: Basic Operations

5.3: Matrix Operations

5.4: Slicing, Stacking

5.5: Quiz

5.6: Exercise

6: Data preprocessing and Visualization

6.1: MUST WATCH: Go through this chapter ONLY IF

6.2: Skip This Chapter - Quiz

6.3: Pandas Introduction and Installation

6.4: Dataframe Basics

6.5: Read, Write Excel and CSV Files

6.6: Handle Missing Data - Part 1

6.7: Handle Missing Data - Part 2

6.8: Grouping Data

6.9: Data Concatenation and Merging

6.10: Data Visualization Using Matplotlib and Seaborn

6.11: Data God Showing the way